{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import yaml\n",
    "from ms_pred.common.plot_utils import *\n",
    "from pathlib import Path\n",
    "import matplotlib\n",
    "from pyteomics import mzml, auxiliary\n",
    "import os\n",
    "\n",
    "from collections import defaultdict\n",
    "from scipy.stats import sem\n",
    "\n",
    "set_style()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/mnt/home/runzhong/ms-pred\n"
     ]
    }
   ],
   "source": [
    "%cd ~/ms-pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Please download mzml data and change the path \n",
    "mzml_path = Path('/home/datashare/msms_data/ullman_nitro_and_iodo_20250411')\n",
    "\n",
    "results_folder = Path(\"results/figs_iceberg/\")\n",
    "\n",
    "results_folder.mkdir(exist_ok=True, parents=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ext Data Fig 6 Chromatography"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8\n"
     ]
    }
   ],
   "source": [
    "mzml_files = []\n",
    "for j in mzml_path.iterdir():\n",
    "    if \"blank\" in str(j):\n",
    "        continue\n",
    "    if \"pooled\" in str(j): continue\n",
    "    mzml_files.append(j)\n",
    "print(len(mzml_files))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/nitro_alkyl_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20051 20051 4301675520.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/nitro_isopropylaniline_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20021 20021 932288192.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/nitro_benzyl_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "19871 19871 345526176.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/iodo_isopropylaniline_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20399 20399 3754713344.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/iodo_alkyl_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20591 20591 9391313920.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/nitro_meth-eth-aniline_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20044 20044 411873664.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/iodo_benzyl_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20350 20350 522969632.0\n",
      "/home/datashare/msms_data/ullman_nitro_and_iodo_20250411/iodo_meth-eth-aniline_ullman_20250411.mzML\n",
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n",
      "20087 20087 1332958208.0\n"
     ]
    }
   ],
   "source": [
    "all_xs = []\n",
    "all_ys = []\n",
    "for j in mzml_files:\n",
    "    print(j)\n",
    "    these_xs = []\n",
    "    these_ys = []\n",
    "    if \"nitro\" in j.stem:\n",
    "        tmz = 257.128\n",
    "    elif \"iodo\" in j.stem:\n",
    "        tmz = 212.143\n",
    "    else:\n",
    "        print('Unknown spec', j)\n",
    "    with mzml.MzML(str(j)) as reader:\n",
    "        for i, spectrum in enumerate(reader):\n",
    "            if i == 0:\n",
    "                print(spectrum.keys())\n",
    "            found = False\n",
    "            for idx,ii in enumerate(spectrum[\"m/z array\"]):\n",
    "                if np.abs(ii - tmz) < 0.001:\n",
    "                    these_ys.append(spectrum[\"intensity array\"][idx])\n",
    "                    found = True\n",
    "                    break\n",
    "            if not found:\n",
    "                these_ys.append(0)\n",
    "            these_xs.append(spectrum[\"scanList\"]['scan'][0]['scan start time'])\n",
    "    all_xs.append(these_xs)\n",
    "    all_ys.append(these_ys)\n",
    "    print(len(these_ys), len(these_xs), np.max(these_ys))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['index', 'id', 'defaultArrayLength', 'scanList', 'MS1 spectrum', 'ms level', 'positive scan', 'profile spectrum', 'base peak m/z', 'base peak intensity', 'total ion current', 'lowest observed m/z', 'highest observed m/z', 'count', 'm/z array', 'intensity array'])\n"
     ]
    }
   ],
   "source": [
    "pool_xs = []\n",
    "pool_ys257 = []\n",
    "pool_ys212 = []\n",
    "with mzml.MzML(str(mzml_path / 'nitro_and_iodo_pooled_ullman_20250411.mzML')) as reader:\n",
    "    for i, spectrum in enumerate(reader):\n",
    "        if i == 0:\n",
    "            print(spectrum.keys())\n",
    "        found257 = False\n",
    "        found212 = False\n",
    "        for idx,ii in enumerate(spectrum[\"m/z array\"]):\n",
    "            if not found257 and np.abs(ii - 257.128) < 0.001:\n",
    "                pool_ys257.append(spectrum[\"intensity array\"][idx])\n",
    "                found257 = True\n",
    "            if not found212 and np.abs(ii - 212.143) < 0.001:\n",
    "                pool_ys212.append(spectrum[\"intensity array\"][idx])\n",
    "                found212 = True\n",
    "            if found257 and found212:\n",
    "                break\n",
    "        if not found257:\n",
    "            pool_ys257.append(0)\n",
    "        if not found212:\n",
    "            pool_ys212.append(0)\n",
    "        pool_xs.append(spectrum[\"scanList\"]['scan'][0]['scan start time'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# normalize peak intensities\n",
    "pool_ys212 = np.array(pool_ys212)\n",
    "pool_ys257 = np.array(pool_ys257)\n",
    "all_ys = [np.array(ys) for ys in all_ys]\n",
    "max_inten = max([np.max(pool_ys212) + np.max(pool_ys257)] + [np.max(ys) for ys in all_ys])\n",
    "\n",
    "pool_ys212 = pool_ys212 / max_inten\n",
    "pool_ys257 = pool_ys257 / max_inten\n",
    "all_ys = [ys / max_inten for ys in all_ys]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load MS/MS for the co-eluting peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ms_pred import common\n",
    "\n",
    "# mzs and intens are extracted from pooled experiment, raw data\n",
    "all_mzs = [\n",
    "[65.0387,74.6598,91.0543,91.9062,92.0495,93.0574,94.0652,101.0682,101.5591,106.0652,106.8943,109.4952,113.1854,117.7091,119.0855,120.0808,126.3508,135.1041,160.8612,169.0889,170.0965,180.0809,181.0886,194.0963,195.1040,196.1122,200.5151,212.1434],\n",
    "[51.1133,51.7257,52.2547,53.0351,54.8757,56.2296,57.4192,57.7760,58.4713,58.6909,58.8861,62.1809,65.0386,67.2169,67.9829,78.7928,80.8177,83.7624,91.0543,91.9073,92.0496,93.0543,93.0574,94.0653,103.0545,106.0652,120.0809,120.0855,131.0731,134.0964,135.1042,150.6048,153.0700,155.4503,167.0737,168.0809,169.0885,170.0964,171.3577,180.0808,181.0886,182.0968,193.9541,194.0965,195.1044,196.1121,197.1199,208.6856,210.1277,212.1434,212.1643],\n",
    "[51.0232,53.0350,65.0385,70.5860,72.6995,79.0542,82.9689,89.3041,91.0513,91.0543,91.9061,91.9091,92.0495,93.0573,94.0650,106.0650,120.0761,120.0808,134.0963,135.1042,137.9546,145.5597,149.8257,153.0697,168.0804,168.3178,169.0885,170.0963,180.0808,181.0885,182.0966,191.0895,194.0962,195.1043,196.1121,197.1197,210.1275,212.1433,212.6767],\n",
    "[53.0351,54.5088,65.0387,91.0543,91.9076,92.0467,92.0496,93.0543,93.0574,94.0651,95.2928,106.0651,120.0809,123.1999,134.0965,135.1043,136.7619,137.9254,143.0854,153.0695,157.7873,168.0806,169.0888,170.0964,180.0808,181.0888,182.0966,194.0966,195.1045,196.1121,197.1207,210.1278,212.1320,212.1434],\n",
    "[53.0351,65.0385,91.0543,91.9053,91.9083,92.0496,93.0574,94.0651,103.0545,106.0651,119.0857,120.0809,127.7293,131.0731,134.0965,135.1042,153.0697,165.4003,168.0809,169.0886,170.0964,180.0807,181.0886,182.0964,183.1041,194.0966,195.1044,196.1121,197.1197,210.1282,212.1434],\n",
    "[53.0350,67.9866,71.9841,89.5372,91.0517,91.0544,92.0495,93.0574,103.0545,117.0698,117.3706,119.0855,120.0808,124.9924,134.0964,135.1042,137.3235,140.1042,168.0809,169.0887,170.0962,180.0808,181.0882,182.0966,183.1040,184.1120,194.0964,195.1041,196.1120,210.1279,212.1320,212.1434],\n",
    "[53.0350,65.0386,79.0542,91.0543,91.9057,91.9085,92.0496,93.0574,93.0602,93.0698,103.0541,110.2593,117.0699,119.0731,119.0856,120.0808,123.5046,134.0963,135.1042,135.1097,169.0884,170.0965,178.9617,180.0807,181.0885,182.0964,183.1043,184.1120,194.0967,195.1043,196.1120,204.8851,210.1272,210.9980,212.1433,233.7700],\n",
    "[53.0351,65.0385,67.1078,79.0543,91.0543,91.9066,92.0495,93.0547,93.0574,103.0542,104.0620,104.6086,106.0651,115.0541,117.0699,119.0729,119.0856,120.0808,120.0855,126.9029,134.0965,135.1042,142.2281,142.2337,169.0884,170.0966,180.0806,181.0886,182.0964,183.1043,184.1123,194.0964,195.1041,196.1122,197.1203,207.8730,210.1278,212.1433,227.9024],\n",
    "[53.0351,53.4538,59.8154,65.0386,79.0543,85.1691,91.0543,91.9078,92.0495,92.8562,93.0574,93.0699,98.6425,103.0542,106.0651,115.0541,117.0699,119.0729,119.0856,119.5667,120.0808,120.5405,121.6822,134.0965,135.1042,135.1097,139.9886,153.8650,168.0813,169.0882,170.0965,178.4134,180.0805,181.0884,182.0965,183.1042,184.1123,194.0969,195.1043,196.1122,197.1201,198.8276,210.1277,212.1433]]\n",
    "all_intens = [\n",
    "[2.2E5,1.8E5,1.3E7,4.9E5,5.9E5,2.0E6,2.1E6,1.9E5,2.1E5,3.1E5,1.9E5,1.9E5,2.3E5,1.8E5,8.0E5,1.6E6,1.9E5,9.7E5,2.1E5,2.5E5,1.5E6,7.8E5,6.8E5,6.5E5,4.0E5,8.2E5,2.0E5,1.8E7],\n",
    "[1.7E5,1.8E5,1.6E5,1.1E6,1.8E5,1.6E5,1.8E5,1.5E5,1.6E5,1.8E5,1.5E5,1.8E5,4.8E5,1.7E5,2.0E5,1.9E5,2.0E5,2.0E5,8.6E6,3.0E5,2.7E6,3.9E5,9.4E6,5.6E5,2.4E5,7.1E5,7.5E6,2.5E5,2.0E5,3.9E5,3.9E6,2.2E5,5.2E5,2.1E5,2.5E5,5.9E5,1.6E6,6.6E6,2.1E5,4.1E6,3.3E6,8.4E5,2.1E5,2.2E6,1.4E6,3.8E6,3.1E5,2.2E5,1.1E6,7.5E7,4.6E5],\n",
    "[2.2E5,5.9E5,4.1E5,2.1E5,2.1E5,2.0E5,1.9E5,1.9E5,3.5E5,7.5E6,5.1E5,3.0E5,2.6E6,7.3E6,2.9E5,6.3E5,2.2E5,6.4E6,6.3E5,3.0E6,2.3E5,1.9E5,2.1E5,5.9E5,5.6E5,2.2E5,9.7E5,5.8E6,3.0E6,2.4E6,5.9E5,2.1E5,2.3E6,9.8E5,2.7E6,3.1E5,9.7E5,4.9E7,2.1E5],\n",
    "[6.1E5,2.1E5,4.1E5,6.8E6,3.4E5,2.5E5,3.2E6,2.7E5,8.1E6,4.2E5,2.1E5,5.3E5,6.1E6,2.3E5,2.9E5,3.2E6,2.1E5,2.3E5,2.6E5,5.0E5,2.1E5,5.1E5,1.2E6,6.5E6,3.9E6,2.5E6,7.4E5,2.2E6,1.4E6,3.1E6,2.3E5,6.7E5,4.8E5,5.0E7],\n",
    "[5.5E5,5.4E5,7.3E6,4.3E5,5.2E5,2.6E6,7.7E6,3.6E5,2.3E5,8.3E5,2.2E5,6.4E6,2.3E5,2.3E5,4.3E5,3.8E6,2.6E5,2.2E5,5.7E5,1.6E6,5.3E6,3.8E6,2.9E6,8.9E5,2.5E5,2.2E6,1.3E6,3.2E6,3.2E5,1.1E6,4.6E7],\n",
    "[3.2E5,2.0E5,2.3E5,2.2E5,3.0E5,3.4E6,1.1E6,2.5E6,2.0E5,5.3E5,2.0E5,7.2E5,2.7E6,2.0E5,7.9E5,3.5E6,2.1E5,1.9E5,2.3E5,4.3E5,1.4E6,1.1E6,7.2E5,4.5E5,1.1E6,6.1E5,6.7E5,3.9E5,1.1E6,4.6E5,3.6E5,3.4E7],\n",
    "[4.5E5,3.3E5,3.7E5,4.9E6,2.8E5,4.6E5,1.3E6,4.5E6,4.2E5,2.4E5,4.7E5,2.2E5,2.1E6,3.7E5,2.0E6,6.0E6,2.3E5,1.7E6,7.7E6,3.6E5,8.2E5,1.4E6,2.3E5,1.6E6,9.7E5,6.8E5,2.6E6,1.0E6,3.1E5,3.2E5,8.7E5,2.3E5,3.3E5,2.2E5,4.4E7,2.2E5],\n",
    "[5.0E5,3.2E5,2.1E5,3.1E5,5.8E6,3.5E5,1.3E6,2.9E5,3.6E6,3.6E5,3.0E5,2.2E5,3.9E5,4.8E5,2.4E6,5.7E5,2.5E6,6.5E6,2.4E5,2.1E5,1.5E6,8.3E6,2.0E5,2.1E5,1.1E6,1.4E6,1.5E6,9.0E5,8.5E5,3.6E6,1.0E6,8.2E5,2.9E5,8.2E5,2.7E5,2.0E5,4.6E5,4.4E7,2.5E5],\n",
    "[5.3E5,1.9E5,2.0E5,4.5E5,2.7E5,2.1E5,6.5E6,2.3E5,1.2E6,2.3E5,5.0E6,3.4E5,1.9E5,3.8E5,2.6E5,3.3E5,2.0E6,6.6E5,2.3E6,2.2E5,6.2E6,2.0E5,1.9E5,1.9E6,8.4E6,2.0E5,2.2E5,2.1E5,2.8E5,1.0E6,1.8E6,2.0E5,1.1E6,1.1E6,7.6E5,3.8E6,1.5E6,5.5E5,6.3E5,1.1E6,4.8E5,2.2E5,5.3E5,4.9E7]\n",
    "]\n",
    "\n",
    "all_peaks = [(str(i), np.array([[mz, inten] for inten, mz in zip(all_intens[i], all_mzs[i])])) for i in range(0, 2)]\n",
    "spec_elute1 = common.process_spec_file({\"parentmass\": 212.1432}, all_peaks, precision=3)\n",
    "spec_elute1 = common.max_inten_spec(spec_elute1, inten_thresh=0.1)\n",
    "common.plot_ms(spec_elute1)\n",
    "for mz, inten in spec_elute1:\n",
    "    if inten > 0.2:\n",
    "        plt.text(mz, inten + 0.06, f'{mz:.4f}', fontsize=4, alpha=0.7, horizontalalignment='center')\n",
    "\n",
    "\n",
    "all_peaks = [(str(i), np.array([[mz, inten] for inten, mz in zip(all_intens[i], all_mzs[i])])) for i in range(7, 9)]\n",
    "spec_elute2 = common.process_spec_file({\"parentmass\": 212.1432}, all_peaks, precision=3)\n",
    "spec_elute2 = common.max_inten_spec(spec_elute2, inten_thresh=0.1)\n",
    "common.plot_ms(spec_elute2)\n",
    "for mz, inten in spec_elute2:\n",
    "    if inten > 0.2:\n",
    "        plt.text(mz, inten + 0.06, f'{mz:.4f}', fontsize=4, alpha=0.7, horizontalalignment='center')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.signal import hilbert, find_peaks\n",
    "\n",
    "new_all_ys = []\n",
    "for xs, ys in zip(all_xs + [pool_xs, pool_xs], all_ys + [pool_ys212, pool_ys257]):\n",
    "    xs_arr = np.array(xs)\n",
    "    ys_arr = np.array(ys)\n",
    "    peaks, _ = find_peaks(ys_arr)\n",
    "    # interpolate between those peaks\n",
    "    env = np.interp(xs_arr,\n",
    "                    xs_arr[peaks],\n",
    "                    ys_arr[peaks])\n",
    "    new_all_ys.append(env)\n",
    "\n",
    "new_pool_ys212 = new_all_ys[-2]\n",
    "new_pool_ys257 = new_all_ys[-1]\n",
    "new_all_ys = new_all_ys[:-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1.8099415733498875e-07, 0.4580483153522356),\n",
       " (2.5421650498433395e-07, 0.09927132666863296),\n",
       " (5.058192250170517e-07, 0.036792101610420874),\n",
       " (2.956151681648823e-07, 0.39980703190038824),\n",
       " (6.825682694914111e-07, 1.0),\n",
       " (2.631026823148193e-07, 0.04385687322440181),\n",
       " (4.41256053880664e-07, 0.05568652442617955),\n",
       " (3.281348290293335e-07, 0.14193522007195347)]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[(_.min(), _.max()) for _ in new_all_ys]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+3dtUvXhkaH5kZ2drxIgR6tGjR8CbYAWxZs0avfTSS5JyGlwTJkzI8/evxx9/XB6PR1LOr4GLm2CSdN111+mdd97x7n/++edBSg0AAArKdLv8j7lohAFAoFmyEZb7pMiMjAx16NBBc+bM8S7+nJCQoBYtWsg0Tb399ts+UyCnTZum+fPnyzAMn4YZAmvTpk1+x+644w6/Y1WrVlWjRo18jh0+fNi7ffGTPW02m3r16uVzrE6dOn5TCWfNmnXZfAsXLlT//v1Vq1YtxcTEqEaNGurfv78l19kaOHCgt5nocrm0bdu2ECcKD06nUwMHDlRmZqaqV6+uoUOH5vte0zT1n//8R02aNNGbb74p0zRlGIbuuuuuICbOW1ZWlgYNGuSdkvnyyy/nOdpx8+bNWr9+vSTpnnvuUc+ePS9Zs1+/fmrevLmuv/56Va9ePaDTPQEAQBG48hoRxhphABBolpwaed1116lnz56aPn269u/fr+7du+uRRx7RJ598Ikl6+OGHNXz4cJ04cULNmzfXHXfcoeTkZK1YscJbo0ePHqGKX+INGTJE7dq109GjR71flSpVyvNap9Ppsx8TE+PdvniNsXr16ql8+fJ+NVq3bu3zlNCdO3fK5XL5rX2UnZ2tIUOG6Ntvv/U5fvToUU2cOFGTJ0/Wyy+//P/s3Xd4FOXax/HfpCf0ICH0gBQpKioKUkwQCxa6NEFBLHgUET161KMiimLF7gFEAUVFBIWjCIhIVZQeaSI1BEECISQhpO7uvH/kZN8s6WWzO8n3c10rszPP3HvPbGKSe5/inEfOCgIDA1W7dm3FxcVJyp4YHtkFo5zen7NmzdKvv/5a7HOPHDmi4cOHO5/Xr19fM2bMUK1atfT999+Xe66FmTJlivbv3y9J6tChg/71r3/l2+7LL790bhfUJkdQUJBlV1gFAKAyMx30CAOAimDJQpgkzZ07VzfeeKN+/fVXGYahRo0aOY/94x//0KxZs7Rjxw6dO3fOuRphTq+xpk2baty4cR7JuyqIiIgoVjEpLi5OBw4ccNnXrFkz5/bu3btdjjVu3DjfOOfvz8zM1IEDB5wriOYYPHhwoatYOhwOPf/887rkkkuKzN1bJCYmugyHrF+/vgezyZ64v3nz5qU+f9SoUZozZ06Zcli/fr1zEvoHHnjA+f+JkvLz89N9992nyZMnKzQ0tMiVS8vbkSNH9Nprrzmfv/POO/L398+37YYNGyRlDxe+6qqrKiQ/AKhKggMCNaBHlHPbW2K5M6YVc7C6nL9VcrMlx3kgEwCo3Cw5NFKSqlevrp9//lkff/yxevTooVatWjmP+fv764cfflDPnj1lmqbzIWVPUL1ixQrVrFnTU6njf1599VXZbK6ffF133XWSJLvdrlOnTrkcq1OnTr5xatWqlWff+T2jZs6cmW8RzM/PT+3atXMpwO3YsaN4F+AF3nvvPefXdnBwsLp06eLhjDwrOTlZd9xxhxwOh1q1alWiVRlzBAQE6MEHH9TevXv1wQcfuKxiWpGefvppZWRkD4fo27evrr322gLb5vSebNeunQzDkMPh0Pz589WnTx81btxYgYGBatSokYYOHeqyQAUAoHh8fHxULShY1YKC5eNTtl+fyzOWO2NaMQfLy6dHWGZ8TMXnAQCVnGV7hEmSYRi66667dNddd+U5Vr9+ff3000/atGmTfvvtN2VkZOjSSy/Vddddxw9nL7B06VKXid6l7OJmzpC0lJSUPOeEhITkGyu//bnPN03TpWdNjr59+2rGjBkKDw+XlD0p+bBhwxQTE1Ps6/AUu92u6dOn6/nnn3fuGz9+fIH3qKKEhoaWqviUo0OHDmV6/XHjxunIkSPy9fXV3LlzS3U/GjZsqPfff79MeZTV/v37nSuAGoahF198scC2J0+e1JkzZyRJDRo00F9//aXbb79d69evd2l3/PhxffXVV/rqq680atQoffjhh6VaRAAAALiHac/Kuy8zVY7MNPkEBHsgIwConCxdCCuOq666iqFCXmbt2rUaPHhwnkm6H374YdWtW1eSdO7cuTznnT/nVw5fX988+3IXwrZv355nCGbHjh319ddfu8Ts3LmzlixZoo4dO+bpqVZRli9fnmelzBw2m03JycmKiYnRunXrdOzYMeexqKgovfDCCxWVZoFq1qypxx57zCOvvWDBAs2dO1dSdm+qzp07eySP8vDWW285V4C87bbbdPHFFxfYNjEx0bmdmZmpG2+8UXv27FFgYKD69u2riy++WOnp6Vq9erVziOgnn3yi5ORkff3113lWXQUA5GWz23XsVPZUBI3qhckvn989PBHLnTGtmIPVOTLz/v4rSbbkEwq4oPRTTwAAXFX6Qhi8y+rVq9WnTx+lpqa67G/fvr2effZZ5/OSrGSX33wKuW3cuDHPvgkTJuRbWGvfvr2uu+46LV++vNivX57mz5+v+fPnF7t9cHCwHn74YT3//PNVunfPsWPHnCtDXnHFFS5fS1aTkJCgTz75xPn88ccfL7R97qJvzmT+l156qRYtWpRnvrac3mDp6elatGiRPvzwwxKtqAkAVVVGVqbW74yWJA3oESU/39L3zinPWO6MacUcrM6edjbf/enH91AIA4ByVCkKYTabTQkJCUpPL9mqKk2bNnVTRsjP0qVLNWjQoDzvU61atTR//nwFBv7/xKr5FXUKKo7lt7969erO7fyGOhY2l1aXLl08VggrjpwhpN26dVO/fv1Uu3ZtT6fkUaZpavTo0Tpz5oyCg4M1d+7cAnsPWsG0adOcheJu3brpyiuvLLT9+UXlsLAw/fDDD/kunDBkyBAlJCToH//4hyTpxRdf1D333JNvr0oAAFCxCuoRlnF8t3TJLRWcDQBUXpadLMs0Tf3nP//RFVdcoZCQEDVo0EDNmzcv9qNFixaevoQqZdGiRRowYECeIli1atX03XffqX379i7785sAPy0tLd/Y+Q2jzF0IS0pKynP8ggsuKDBXT668OHv2bJcFHmw2m+Li4jRr1iznyqgpKSk6dOiQevXqVeWLYJL09ttva+XKlZKkV155RW3btvVwRmXz6aefOrfvu+++ItsHBQW5PH/00UcL/Rq+9957nSut/vXXX9q6dWspMwUAAOXFNE2ZGan5H7NlyGHLrOCMAKDysmS3CYfDof79+zuHARU1NA6etWDBAt1+++155t2qUaOGvv/+e/Xo0SPPOUFBQapZs6aSk5Od+/IraBW0v0GDBs7t/OZAKmwOMG9aTMHX11dhYWG66667dNNNN6lnz57au3evfvrpJ3Xt2lUbNmxwFjW8QXJysj788MNSn9+hQwf17t272O137dqlp556SlL2iqMPPfRQqV/bG+zatUv79u2TlF3MHTRoUJHn1KhRw+V5UffP19dXUVFR+uyzzyRJ27ZtYx5FAAA8zJGeLJkFTw3iSE+WT/WCP8gFABSfJQthM2bM0JIlS2QYhkzTVLVq1dSqVSvVqFHDq4oYyB4OOWLEiDyFpzp16mj58uWF/gHevHlz/f77787nx48fz7fdX3/95fI8ICBALVu2dHmt8504caLAXjNxcXEF5uRJ4eHhWrJkia644golJSXp6NGj6t27tzZu3Khq1ap5Oj1J2fNbFTWnVWFGjRpVokLY2LFjlZGRISl7frepU6fm227Dhg3O7dwLEpS08OZu33zzjXO7T58+xXpfcxaYyNGwYcMiz8ldPC1ocQYAAFBx7OcSCj+eclp+FMIAoFxYshCW05NBkp588klNmjSpSk8U7q22bdumwYMHKyvLdSnoevXqaeXKlbrkkksKPf/SSy91KYTt379fqampCgkJcWmXu40ktWnTxmWOqFatWuWJvWnTJl166aX5vu7PP/9caF6edOGFF2r69OkaPny4JGn37t0aP368Pv74Yw9n5hm5V8585513inVO7gUJSlp4c7fchbB+/foV65wLLrhAYWFhOnkye6WuxMRE1atXr9Bzchemz+9RBgAAKp4jPf+J8nNknDygwPA2FZQNAFRuluw+tXv3bhmGoe7du2vKlCkUwbzQmTNn1K9fvzwTeYeGhmrVqlVFFsEkKSoqyuW5zWbTf//7X5d9R44cyTPH0a233uryvFu3bnliv/fee86eRLlt27bNOd+Utxo2bJjLkLlZs2bpu+++82BG/y8iIsJljrOSPubMmePpS/CYkydPOou6hmHohhtuKPa5uYu6O3fuLLL94cOHndtNmjQpQZYAAMAdHFmFL/pVVKEMAFB8liyE5fQw6tWrl4czQUEmTJiQZ8iiJM2dO1cdOnQoVoz+/fu7rCQpSc8884xzFcizZ89q7NixeeaIGzp0qMvz1q1b5xmCuXPnTt122206ceKEc9/69evVp08fORyOYuXnSe+//77LRPnjxo3Ld9GAyi4mJqZYBbbnnnvOeU7uBQm8qfD2yy+/OLfbtm2b75DegvTp08e5/eWXXxbaNi0tTatXr5aUPV9YfoViAIArwzAUEhiokMDAfOce9VQsd8a0Yg5WZhZVCMtIqaBMAKDys+TQyGbNmunPP/8sdMJzeM7u3bs1d+7cPPsDAwM1ceJETZw4scBzGzZsqG+//VZS9txe999/v8uQt0OHDql169Zq2bKl/vrrL5096/rpWP/+/fMd8vjss8+6FAskacmSJWrSpIlatmyptLQ0HTlypETX6Unh4eGaMmWKHnjgAUlSbGysJk2apNdff93DmaG0Nm/e7Ny++uqrS3Tu8OHD9dhjjykzM1MLFy7U+vXr812EQpKmTp2qhITseUiuu+46j66SCgBWERIYpIHXXOt1sdwZ04o5WFmRPcIohAFAubFkj7A+ffrINE2vH8JWVU2fPj3flTwzMjK0devWQh87duxwOefFF1/UZZdd5rIvKytLf/zxR54iWN26dQucJ+rWW2/Vgw8+mGe/zWbT3r17XYpg+bXzRmPHjnXp6fb2228Xa1gcvFPu9+7KK68s0bkXXHCBnn76aUnZq+j2799fa9asydPuo48+0qRJkyRl9wZ7/vnnS50vAAAoP6at6KGR6cd3V1A2AFC5WbIQ9vDDD6t27drauHGjy8T58A45PbrKQ/Xq1bVy5Updd911hbZr1qyZfvrpJzVt2rTANu+9957++c9/Fthd3zAMPf7443r55ZeLlZthGM6HJ4bY+fj4aPr06fL19ZWUXdS7//778y1CouKtWbPG5WskZ0hvQQ4cOODcjoiIKPHrPfXUU7r++uslZa/e2bNnT1177bV65pln9Oyzz6pLly669957ZbdnL83+73//W507dy7x6wAAgPLnyEwrso09NdH9iQBAFWDJQljDhg31+eefKzAwUHfddZf+9a9/ufwRCc85ffq0YmNjyzVmaGiofvzxR33zzTcaMGCAGjVqpICAANWtW1ddu3bVG2+8oT179hS4CmQOwzD0xhtv6Ndff9XIkSPVpEkTBQYGqkmTJrrjjjv066+/6rXXXrPUvBaXXXaZxo0b53y+YcMGzZw504MZobSOHz/u3C7NBPb+/v767rvvdPfddzu/hlevXq2XXnpJL774ojZu3Cgpu4D6xhtv6IUXXiifxAGgCsjMytKWP//Qlj//UOZ5q2F7MpY7Y1oxBysrztBHR1pSBWQCAJWfJecIk6SbbrpJ77zzjsaOHaupU6dq6tSpqlatmurUqePsIVMYwzB08ODBCsi0aqlbt67beiQNGDBAAwYMKHOczp07F9oTpnr16pbqVTV58mQtWLDAWUh58skn1b9/f4WFhXk4M5RESsr//wLcuHHjUsUIDAzURx99pLFjx2r27Nn66aefdOzYMWVlZalZs2a69tpr9dBDD6l9+/bllTYAVAlZdpv2xsZIkto2i1CAv79XxHJnTCvmYGWOjNQi22Sc+FPVO/SWYViyLwMAeA3LFsJeffVVPfPMM86eD6ZpKiUlpVgr55mmaaleP/BOpmlqxowZuv/++xUUFFTqOPnN5VQSNWrU0LFjx0p0TlRUlKWKfWU1adIk59xYpVXSe1bS9jlDFsvDlVdeWeJ5xgAAgOc4Mov+G8aRkSJ7Srz8avBhJwCUhSU/Tvjxxx/11FNPyW63yzRNlz82c54X9gDKS86Q3IYNG3o4EwAAAFiRacuU7MUbTpp15njRjQAAhbJkIey9996TlD28MSoqSkuXLtWxY8dks9nkcDiK9SjP3heomuLj4/XZZ5+pbt26TDoOAACAUrGnny260f+kxW5zYyYAUDVYcmjk9u3bZRiGLr30Uv30008Mc0SFS0tL09VXX60TJ05o9uzZCgwM9HRKAAAAsCBHCQphtqS/ZdqzZPgyBxsAlJYlC2Hx8fGSpD59+lAEg0cEBwdrzJgxuuSSS3TLLbd4Oh0AAABYVHFWjHQyHcqMj1Fg/VbuSwgAKjlLFsLCw8MVGxvr6TRQxT311FOeTgEAAAAWZ09LKlH7jBN7KYQBQBlYco6w7t27yzRNbdiwwdOpAAAAoJLz8/VV07BwNQ0Ll5+vr9fEcmdMK+ZgVfbUxBK1Tz+2S/a0ZPckAwBVgGFacBnFTZs2qWvXrjJNUytWrFCvXr08nRIAAAAAlFjixnnKPHWgROdUu6inqrXs7qaMAKBys2SPsKuuukpPPfWUTNPUwIEDNX36dNlsNk+nBQAAUKmlxW5Xyp9r5Mg45+lUgErDfu50ic9JPfCLUv5cK9N0uCEjAKjcLNkj7JtvvpEkvfXWW/rll19kGIaqV6+uSy65RA0bNlRISEiRk+gbhqGPP/64ItIFAACwvMz4w0r87XNJpgLqt1btK4d6OiXA8kyHQ6eWTZFK+SdZtYuuVUjzq1hFEgBKwJKFMB8fnzyFLtM0S7yCpN1uL8+0AAAAKiVHZqpOr/5AZlb6//YY/xua1c2jeVWU9MwMrYneJkmK6ni5ggICvSKWO2NaMQcrsiWfVMK6GWUL4uOn4CaXyrf6BfKtFir/Wg3kE1itfBIEgErIkqtGStmFr+LsK0hJi2YAAABVVerhTbmKYJJk6ty+tQqOuFI+fgEey6ui2B0OxSclOre9JZY7Y1oxByvKPH2k7EEcNqUd2ep8avgHy69mfQWGtVRQs8vl40dREgBys2QhbPXq1Z5OAQAAoEpwZJxT6oGf8zlgV/LWhfKtUU9B4RfJnpEi05ah4CYdKzxHwKoy4vaVe0wzK01Zp2OUdTpGKX+ull/1C+Rb/QL5hzaVb1B1+VarK8PHTz4htSXRQQBA1WPJoZFWNmHCBEVHR3s6DQAAgGKxnT0pMzMt/4O+fpLdJsMvUKYtQ/LxlU9gNfkE1ZTh41uxibqRX2CAWnftLEnat2GjbBmZXhHLnTGtmIPVmA67bGf+8mwSho/k4yNDhvS/71nDN0AyjOyHwy4ZPtlzkJmO7O9505RkZBfQDB/JMGQYPjKVU1T737mmI/tfUWgDqqKOHTvq7bff9nQa+bJkjzAri46O1tq1az2dBgAAAIopuHo11W3TUpK0YcMGpaWUftXM8ozlzphWzAEAgOKoVIWw9PR0HT16VAkJCfLx8VHt2rXVrFkzBQR4z9wVHTt29HQKAAAvFR0draSkJNWqVavcf14Qm9iVOba74+/dnz18zd/fX127di1zj7C6detKkrp27aotGzeVOe/zY+bkV5HvZ0E5lEfs8kTsyhO7IuIDKD2v/p40LS4rK8v8+OOPzW7dupmBgYGmj4+Py8PPz8/s3Lmz+c4775jp6emeThcAgAJFRkaakszIyEhiE5vYXhS/1w3Xm0Me+of5j0nPmClpqWWKlZKWas5dsdScu2KpmZKWWi55nx8zR0W+nwXlUB6xyxOxK0/siogPoHKydI+w/fv3a+DAgdqzZ4+k/FeNtNvt2rx5szZv3qyPPvpI8+fPV9u2bSs6VQAAAAAAAHiYZQthhw4dUrdu3XT69GlnAcwwDDVv3lx169aV3W5XfHy8YmNjncd37dql7t27a/v27WratKkn0wcAAIBFOGx2Rf+8QR3at1eAn3+ZYgX4+evy1hc5t8uDO2JaMQcAAIrDsoWwwYMHKz4+XpLUpEkTPffccxo8eLBq1Kjh0i4xMVELFizQSy+9pNjYWJ05c0ZDhw7Vr7/+6om0AQAAYDEOu137tv+uBjVry9+vbL8++/v5qV2z5uWUmftiWjEHAACKw5KFsIULF2r79u0yDEOdOnXSihUrVKtWrXzb1q5dW/fee6+GDBmiG2+8UZs2bdKmTZu0aNEiDRgwoIIzBwDAM0aPHq2oqChFREQQuwJiu5NV74m77zfvJ7E9zar3xKqxAaC0DDO/ibW83NChQ7VgwQKFhITojz/+UJMmTYp13tGjR3XRRRcpPT1dgwYN0ldffeXmTAEAKL6oqCitXbtWkZGRWrNmjafTQRnwXlYuvJ+VB+9l5cL7CaA0fDydQGls2rRJhmHo1ltvLXYRTMoeQtm3b1+ZpqmNGze6MUMAAABUFn6BARry0D/UrmcPnUtPK1Osc+lp+uzHZfrsx2VljuXOmFbMAQCA4rBkISwuLk6S1KFDhxKf2759e5cYAAAAAAAAqBosWQjz+98kpZmZmSU+N+ecwMDAcs0JAAAAAAAA3s2ShbDGjRtLUqlWfsw5p2HDhuWaEwAAAAAAALybJQthPXr0kGmaWr16tX777bdin7dhwwatWrVKhmHommuucWOGAAAAAAAA8DaWLISNGTNGkmSapgYOHKjff/+9yHOio6N12223KWeRzDvuuMOtOQIAAAAAAMC7+Hk6gdLo3LmzBg4cqG+++UYnTpxQ586dNWLECA0cOFAdO3ZUaGioDMNQfHy8fv/9dy1cuFDz5s1TZmamDMNQnz591L17d09fBgAALkaPHq2oqChFRER4OhWUEe9l5TJ82HDFpCYpJDjE06mgjPjerFx4PwGUhmHmdJGymDNnzqhXr16Kjo6WYRhFts+5zPbt2+uXX35RzZo13Z0iAAAAKoFz6WlatH6NJGlAjyhVCwr2iljujGnFHAAAKA7LFsIkKSUlRQ888IC++OILORyOQtsahqHbb79d//nPf1SjRo0KyhAAAABWZ3fYlZCcLEkKrVlTvj6+XhHLnTGtmAMAAMVh6UJYjj/++EPz58/XqlWrdPjwYZ0+fVqSVKdOHbVs2VI9evTQHXfcoTZt2ng4UwAAAAAAAHiKJQthR48eVc2aNVWrVi1PpwIAAAAAAACLsOSqkc8884zq16+vW2+9VatXr/Z0OgAAAKjE7A67TiWe0anEM7I77F4Ty50xrZgDAADFYclC2Pr165WZmally5YpMzPT0+kAAACgEkvPzNQPm3/TD5t/U3oZf/csz1jujGnFHAAAKA5LFsJOnDjh3O7WrZsHMwEAAAAAAIBVWLIQ1rhxY+d2QkKCBzMBAAAAAACAVViyEPboo486tydPnuzBTAAAAAAAAGAVliyE3X///Zo6dar8/f01a9Ys3XLLLVqyZIlOnz7t6dQAAAAAAADgpfw8nUBpPPDAA5Kk7t27a9WqVVq+fLmWL18uSapWrZpq164tP7/CL80wDB08eNDtuQIAAAAAAMA7WLIQNn36dBmGIUnOfyXJNE2lpKTo3LlzhZ5vmqbLeQAAAAAAAKj8LFkIk7KLWaU5BgAAAAAAgKrJMKkaAQAAAAAAoAqw5GT5AAAAAAAAQElRCAMAAAAAAECVYNk5wgAAAICKkGWzaf+xo5KkVo2ayL+I1ckrKpY7Y1oxBwAAisPyP6E2b96sX375RbGxsTp79qzsdnuxzjMMQx9//LGbswMAAIDVZdqytG3fXklSs/rhZSrylGcsd8a0Yg4AABSHZX9C/f333xo1apR++umnUsegEAYAAAAAAFB1WLIQlpmZqT59+mj79u0q7aKXhmGUc1YAAAAAAADwZpYshM2ZM0fbtm2TYRjy8/PTyJEj1atXL4WHh8uPbtgAAAAAAADIhyWrRl988YUkycfHR8uWLVOvXr08nBEAAAAAAAC8nY+nEyiNP//8U4ZhqE+fPhTBAAAAAAA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      "text/plain": [
       "<Figure size 1400x1800 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import gridspec\n",
    "import numpy as np\n",
    "from matplotlib.patches import Patch\n",
    "\n",
    "fig = plt.figure(figsize=(3.5, 4.5), dpi=400)\n",
    "gs = gridspec.GridSpec(9, 1, hspace=0.2)\n",
    "\n",
    "ax_pool = plt.subplot(gs[0, 0])\n",
    "ax_indi = [plt.subplot(gs[i+1, 0], sharex=ax_pool, sharey=ax_pool) for i in range(8)]\n",
    "\n",
    "# ax_pool.plot(np.array(pool_xs), np.sqrt(new_pool_ys212), color='#e9b382', linewidth=0.1)\n",
    "ax_pool.fill_between(np.array(pool_xs), np.zeros_like(new_pool_ys212), np.sqrt(new_pool_ys212), color='#e9b382', linewidth=0)\n",
    "# ax_pool.plot(np.array(pool_xs), np.sqrt(new_pool_ys257), color='#7c9d97', linewidth=0.1)\n",
    "ax_pool.fill_between(np.array(pool_xs), np.zeros_like(new_pool_ys257), np.sqrt(new_pool_ys257), color='#7c9d97', linewidth=0)\n",
    "ax_pool.set_yticks([])\n",
    "ax_pool.tick_params(axis='x', labelbottom=False)\n",
    "ax_pool.tick_params(axis='x', which='minor', length=1)\n",
    "ax_pool.text(0.05, 0.18, \"pooled experiment\", transform=ax_pool.transAxes, ha='left', va='center', rotation=0, style='italic')\n",
    "ax_pool.set_xlim(8, 55)\n",
    "ax_pool.set_ylim(0.02, 1)\n",
    "\n",
    "# turn off boxes\n",
    "for spine in ['top', 'right', 'left']:\n",
    "    ax_pool.spines[spine].set_visible(False)\n",
    "\n",
    "plot_order = [4, 6, 3, 7, 0, 2, 1, 5]\n",
    "xtick_pos = [25, 30, 35, 40, 45]\n",
    "xminortick_pos = [i for i in range(xtick_pos[0], xtick_pos[-1]) if not i in xtick_pos]\n",
    "\n",
    "name0_to_bb = {'nitro': '19', 'iodo': '18'}\n",
    "name1_to_bb = {'alkyl': '17a', 'benzyl': '17b', 'isopropylaniline': '17c', 'meth-eth-aniline': '17d'}\n",
    "name0_to_prod = {'nitro': '21', 'iodo': '20'}\n",
    "name1_to_prod = {'alkyl': 'a', 'benzyl': 'b', 'isopropylaniline': 'c', 'meth-eth-aniline': 'd'}\n",
    "name_to_rt = {'iodo-alkyl': '25.70', 'iodo-benzyl': '34.82', 'iodo-isopropylaniline': '41.51', 'iodo-meth-eth-aniline': '41.76',\n",
    "             'nitro-alkyl': '36.74', 'nitro-benzyl': '35.90', 'nitro-isopropylaniline': '38.24', 'nitro-meth-eth-aniline': '35.00'}\n",
    "\n",
    "for pidx, i in enumerate(plot_order):\n",
    "    names = mzml_files[i].stem.split(\"_\")[0:2]\n",
    "    color = '#7c9d97' if names[0] == 'nitro' else '#e9b382'\n",
    "\n",
    "    ax = ax_indi[pidx]\n",
    "    ax.fill_between(all_xs[i], np.zeros_like(new_all_ys[i]), np.sqrt(new_all_ys[i]), color=color, linewidth=0)\n",
    "    ax.set_yticks([])\n",
    "    ax.set_xticks(xtick_pos)\n",
    "    ax.set_xticks(xminortick_pos, minor=True)\n",
    "    ax.tick_params(axis='x', labelbottom=False)\n",
    "    ax.tick_params(axis='x', which='minor', length=1)\n",
    "\n",
    "#     ax.text(0.05, 0.18, f'{name1_to_bb[names[1]]}+{name0_to_bb[names[0]]}', weight='bold',\n",
    "#             transform=ax.transAxes, ha='left', va='center', rotation=0)\n",
    "#     ax.text(0.155, 0.18, f', RT={name_to_rt[\"-\".join(names)]}',\n",
    "#             transform=ax.transAxes, ha='left', va='center', rotation=0)\n",
    "    ax.text(0.05, 0.18, f'{name0_to_prod[names[0]]}{name1_to_prod[names[1]]}', weight='bold',\n",
    "            transform=ax.transAxes, ha='left', va='center', rotation=0)    \n",
    "    ax.text(0.102, 0.18, f', RT = {name_to_rt[\"-\".join(names)]}',\n",
    "            transform=ax.transAxes, ha='left', va='center', rotation=0)\n",
    "\n",
    "    for spine in ['top', 'right', 'left']:\n",
    "        ax.spines[spine].set_visible(False)\n",
    "        \n",
    "    # Find highest peak x location in data coordinates\n",
    "    x_peak = all_xs[i][np.argmax(all_ys[i])]\n",
    "\n",
    "    # Convert data x-coordinate to figure normalized coordinate\n",
    "    x_fig = ax.transData.transform((x_peak, 0))[0]\n",
    "    x_fig_norm = fig.transFigure.inverted().transform((x_fig, 0))[0]\n",
    "\n",
    "    # Get y limits for the pooled subplot and current subplot in figure coords\n",
    "    y0 = ax_pool.get_position().y0  # bottom of ax_pool\n",
    "    y1 = ax.get_position().y0       # bottom of current subplot\n",
    "\n",
    "    # Add a vertical dashed line across subplots using figure coordinates\n",
    "    line = plt.Line2D(\n",
    "        [x_fig_norm, x_fig_norm], [y0, y1 + 0.01],\n",
    "        transform=fig.transFigure,\n",
    "        linestyle='--',\n",
    "        linewidth=0.4,\n",
    "        color=color,\n",
    "        alpha=0.7,\n",
    "        zorder=1\n",
    "    )\n",
    "    fig.lines.append(line)\n",
    "\n",
    "# Define legend handles using rectangle patches\n",
    "legend_handles = [\n",
    "    Patch(facecolor='#e9b382', edgecolor='none', label='m/z = 212.1434'),\n",
    "    Patch(facecolor='#7c9d97', edgecolor='none', label='m/z = 257.1285')\n",
    "]\n",
    "\n",
    "# Add custom legend to upper left with padding\n",
    "ax_pool.legend(\n",
    "    handles=legend_handles,\n",
    "    loc='upper left',\n",
    "    bbox_to_anchor=(0.71, 0.99),\n",
    "    frameon=False,\n",
    ")\n",
    "\n",
    "ax_indi[3].set_ylabel('Extracted ion chromatogram at product mass')\n",
    "ax_indi[7].tick_params(axis='x', labelbottom=True)\n",
    "ax_indi[7].set_xticklabels(xtick_pos)\n",
    "ax_indi[7].set_xlabel('Retention time (min)')\n",
    "\n",
    "# --- Add Floating (Inset) MS/MS Panels ---\n",
    "# Here we add two inset axes to float on top of the LC plot.\n",
    "# Adjust the positions ([left, bottom, width, height] in figure fraction coordinates) as desired.\n",
    "# inset_ax1 = fig.add_axes([0.68, 0.55, 0.2, 0.07])  # Example: top-right corner inset\n",
    "# common.plot_ms(spec_elute1, ax=inset_ax1, spec_name=\"\")\n",
    "# for spine in ['top', 'right', 'left']:\n",
    "#     inset_ax1.spines[spine].set_visible(False)\n",
    "# inset_ax1.set_facecolor(\"none\")\n",
    "# inset_ax1.set_yticks([])\n",
    "# inset_ax1.set_yticks([], minor=True)\n",
    "# inset_ax1.set_xticks([])\n",
    "# inset_ax1.set_xlabel(\"\")\n",
    "# inset_ax1.set_ylabel(\"\")\n",
    "# inset_ax1.set_xlim(80, 220)\n",
    "# # Optionally, label the peaks on the inset:\n",
    "# for mz, inten in spec_elute1:\n",
    "#     if inten > 0.25 and (mz > 170 or mz < 93):\n",
    "#         inset_ax1.text(mz, inten + 0.06, f'{mz:.4f}', fontsize=4, alpha=0.7, horizontalalignment='center')\n",
    "\n",
    "# inset_ax2 = fig.add_axes([0.68, 0.462, 0.2, 0.07])  # Example: below the first inset\n",
    "# common.plot_ms(spec_elute2, ax=inset_ax2, spec_name=\"\")\n",
    "# for spine in ['top', 'right', 'left']:\n",
    "#     inset_ax2.spines[spine].set_visible(False)\n",
    "# inset_ax2.set_facecolor(\"none\")\n",
    "# inset_ax2.set_yticks([])\n",
    "# inset_ax2.set_yticks([], minor=True)\n",
    "# inset_ax2.set_xticks([])\n",
    "# inset_ax2.set_xlabel(\"\")\n",
    "# inset_ax2.set_ylabel(\"\")\n",
    "# inset_ax2.set_xlim(80, 220)\n",
    "# for mz, inten in spec_elute2:\n",
    "#     if inten > 0.25 and (mz > 170 or mz < 93):\n",
    "#         inset_ax2.text(mz, inten + 0.06, f'{mz:.4f}', fontsize=4, alpha=0.7, horizontalalignment='center')\n",
    "\n",
    "plt.show()\n",
    "fig.savefig(\n",
    "    results_folder / \"pooled_bh_lc.pdf\", bbox_inches=\"tight\", transparent=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "missing parentmass for spec\n",
      "missing parentmass for spec\n",
      "missing parentmass for spec\n",
      "missing parentmass for spec\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x340 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x340 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x340 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from ms_pred.dag_pred.iceberg_elucidation import candidates_from_pubchem, iceberg_prediction, load_real_spec, load_pred_spec, elucidation_over_candidates, plot_top_mols, explain_peaks, modi_finder, load_global_config\n",
    "\n",
    "_config = load_global_config()\n",
    "_config['nce'] = True  # use nce for collision energy\n",
    "_config['merge_spec'] = True\n",
    "_config['step_collision_energy'] = True\n",
    "_config['cuda_devices'] = [0]\n",
    "\n",
    "result_path, pmz = iceberg_prediction(['CC(C)C(C=CC=C1)=C1NC2=CC=CC=C2'], [30, 40, 60], **_config)\n",
    "    \n",
    "topk_results = elucidation_over_candidates(result_path, {'nan': spec_elute1}, precursor_mass=pmz, real_spec_type='raw', **_config)\n",
    "entropy_dist = topk_results[0][1]\n",
    "\n",
    "fig = plt.figure(figsize=(1.5, .85), dpi=400)\n",
    "axes = plt.gca()\n",
    "explain_peaks(result_path, {'nan': spec_elute1}, pmz, 'CC(C)C(C=CC=C1)=C1NC2=CC=CC=C2', \n",
    "              pred_label='ICEBERG\\nintensity', real_label='Analyte\\nintensity', num_peaks=0, axes=axes, pmz=pmz, real_spec_type='raw', \n",
    "              display_expmass=True, save_path=results_folder / '20c_msms.pdf', **_config)\n",
    "\n",
    "result_path, pmz = iceberg_prediction(['CC1=CC=CC(CC)=C1NC2=CC=CC=C2'], [30, 40, 60], **_config)\n",
    "    \n",
    "topk_results = elucidation_over_candidates(result_path, {'nan': spec_elute2}, precursor_mass=pmz, real_spec_type='raw', **_config)\n",
    "entropy_dist = topk_results[0][1]\n",
    "\n",
    "fig = plt.figure(figsize=(1.5, .85), dpi=400)\n",
    "axes = plt.gca()\n",
    "explain_peaks(result_path, {'nan': spec_elute2}, pmz, 'CC1=CC=CC(CC)=C1NC2=CC=CC=C2', \n",
    "              pred_label='ICEBERG\\nintensity', real_label='Analyte\\nintensity', num_peaks=0, axes=axes, pmz=pmz, real_spec_type='raw', \n",
    "              display_expmass=True, save_path=results_folder / '20d_msms.pdf', **_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fig 4 pooled vs unpooled comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 800x720 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig = plt.figure(figsize=(2., 1.8), dpi=400)\n",
    "\n",
    "# Provided data\n",
    "labels = ['20a', '20c', '20d', '20b', '21a', '21b', '21d', '21c']\n",
    "individual_areas = np.array([8.27, 2.48, 0.683, 0.357, 3.00, 0.147, 0.213, 0.454])\n",
    "pooled_areas = np.array([10.4, 1.928, 0.450, 0.322, 4.39, 0.328, 0.147, 0.428])\n",
    "\n",
    "n = len(individual_areas)  # number of data points\n",
    "\n",
    "###############################################################################\n",
    "# NORMAL SCALE REGRESSION (Additive Model, forced through origin)\n",
    "###############################################################################\n",
    "# Compute the slope forcing the regression through 0:\n",
    "slope_norm = np.sum(individual_areas * pooled_areas) / np.sum(individual_areas**2)\n",
    "slope_norm = 1 # force slope=1, parity line\n",
    "intercept_norm = 0  # forced through origin\n",
    "\n",
    "def regression_line_norm(x):\n",
    "    return slope_norm * x\n",
    "\n",
    "# Predicted values and RMSE for the normal regression\n",
    "predicted_norm = regression_line_norm(individual_areas)\n",
    "rmse_norm = np.sqrt(np.mean((predicted_norm - pooled_areas)**2))\n",
    "\n",
    "# Define x values (for plotting the regression line)\n",
    "x_vals = np.linspace(individual_areas.min(), individual_areas.max() * 1.3, 100)\n",
    "y_vals_norm = regression_line_norm(x_vals)\n",
    "\n",
    "###############################################################################\n",
    "# Compute Pearson's correlation coefficient (R)\n",
    "###############################################################################\n",
    "pearson_r = np.corrcoef(individual_areas, pooled_areas)[0, 1]\n",
    "\n",
    "###############################################################################\n",
    "# PLOTTING (displayed on log scale)\n",
    "###############################################################################\n",
    "# Plot the data points\n",
    "plt.scatter(individual_areas, pooled_areas, color='#E9B382', zorder=3, s=6)\n",
    "\n",
    "# Set log scale for both axes\n",
    "plt.xscale('log')\n",
    "plt.yscale('log')\n",
    "\n",
    "# Add labels for each point\n",
    "for x, y, lab in zip(individual_areas, pooled_areas, labels):\n",
    "    plt.text(x, y, f'  {lab}', verticalalignment='top', weight='bold')\n",
    "\n",
    "# Plot the regression line with RMSE and Pearson's R in the legend\n",
    "plt.plot(x_vals, y_vals_norm, color='#FFD593', linewidth=0.6,\n",
    "         label=f\"Pearson's R = {pearson_r:.2f}\")\n",
    "# RMSE = {rmse_norm:.4f}, \n",
    "\n",
    "# Label the axes\n",
    "plt.xlabel('Singleton experiment product area (norm.)')\n",
    "plt.ylabel('Pooled experiment product area (norm.)')\n",
    "\n",
    "for spine in ['top', 'right']:\n",
    "    plt.gca().spines[spine].set_visible(False)\n",
    "\n",
    "plt.text(0.1, 0.95, f'$R = {pearson_r:.2f}$', transform=plt.gca().transAxes, horizontalalignment='left')\n",
    "# \\n$y = e^{{ {slope_norm:.3f} \\cdot \\\\log x}}$ \n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "fig.savefig(\n",
    "    results_folder / \"pooled_vs_individual.pdf\", bbox_inches=\"tight\", transparent=True\n",
    ")"
   ]
  }
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